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DBMS > Cloudflare Workers KV vs. GreptimeDB vs. mSQL vs. OrigoDB vs. QuestDB

System Properties Comparison Cloudflare Workers KV vs. GreptimeDB vs. mSQL vs. OrigoDB vs. QuestDB

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGreptimeDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.An open source Time Series DBMS built for increased scalability, high performance and efficiencymSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseA high performance open source SQL database for time series data
Primary database modelKey-value storeTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvgreptime.comhughestech.com.au/­products/­msqlorigodb.comquestdb.io
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.greptime.comorigodb.com/­docsquestdb.io/­docs
DeveloperCloudflareGreptime Inc.Hughes TechnologiesRobert Friberg et alQuestDB Technology Inc
Initial release2018202219942009 infounder the name LiveDB2014
Current release4.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustCC#Java (Zero-GC), C++, Rust
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-free, schema definition possibleyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or datenoyesyesUser defined using .NET types and collectionsyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono infocan be achieved using .NETno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL with time-series extensions
APIs and other access methodsHTTP REST
Proprietary protocol
gRPC
HTTP API
JDBC
JDBC
ODBC
.NET Client API
HTTP API
LINQ
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C++
Erlang
Go
Java
JavaScript
C
C++
Delphi
Java
Perl
PHP
Tcl
.NetC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoPythonnoyesno
Triggersnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infothrough memory mapped files
User concepts infoAccess controlSimple rights management via user accountsnoRole based authorization
More information provided by the system vendor
Cloudflare Workers KVGreptimeDBmSQL infoMini SQLOrigoDBQuestDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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